SYED MUHAMMAD AHRIS
OTHER-UNCATEGORIZED
· 2023
·
18573
Email
s.ahris_18573@khi.iba.edu.pk
Phone
334-382-9388
LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
3.43
Year
2023
Education
Institute of Business Administration, Karachi
Address
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DOB
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Career
Current role
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Target role
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Skills
Critical Thinking, Microsoft Office Skills, Problem Solving, Quick Learner, Teamwork, Statistical inference, Principles of accounting, Introduction to business finance, Chinese language 1, Introduction to data mining, Computer vision, Deep learning, Design patterns, Mobile application development, Web based application development, Introduction to bioinformatics
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
SYED MUHAMMAD AHRIS s.ahris_18573@khi.iba.edu.pk 334-382-9388 BSCS EDUCATION DEGREE/PROGRAM YEAR OF GRADUATION INSTITUTION CGPA/PERCENTAGE Bachelors June 2023 Institute of Business Administration, Karachi 3.43 Higher Secondary School Program 2019 Cordoba School for A-Levels --- Secondary School Program 2017 Habib Public School --- ELECTIVES Statistical inference , Principles of accounting , Introduction to business finance , Chinese language 1 , Introduction to data mining , Computer vision , Deep learning , Design patterns , Mobile application development , Web based application development , Introduction to bioinformatics , MAJOR TERM PAPERS / RESEARCH WORK / PROJECTS FYP: A traffic management system using the powers of artificial intelligence and computer vision. WORK/INTERNSHIP EXPERIENCE TENURE/DURATION NAME OF THE COMPANY DESIGNATION/POSITION INTEREST/SKILLS/EXTRACURRICULAR ACTIVITIES/COCURRICULAR ACTIVITIES Critical Thinking Microsoft Office Skills Problem Solving Quick Learner Teamwork
AI enrichment
Syed Muhammad Ahris is a 2023 BSCS graduate from IBA Karachi with a 3.43 CGPA and a final year project focused on AI and computer vision for traffic management. He has completed coursework in deep learning, mobile and web development, and design patterns, demonstrating a foundation in software engineering and data science.
Skills (AI)
["Artificial Intelligence", "Computer Vision", "Deep Learning", "Mobile Application Development", "Web Based Application Development", "Design Patterns", "Data Mining", "Statistical Inference", "Problem Solving", "Critical Thinking", "Microsoft Office"]
Status: ai_done